Triple

T20175118
Position Surface form Disambiguated ID Type / Status
Subject Erv E492068 entity
Predicate etymologicallyLinkedTo P5801 FINISHED
Object Ervin NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Ervin | Statement: [Erv, etymologicallyLinkedTo, Ervin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ervin
Context triple: [Erv, etymologicallyLinkedTo, Ervin]
  • A. Ervin chosen
    Ervin is a masculine given name of Germanic origin, closely related to names like Erwin and Irvin.
  • B. Rifkind
    Rifkind is a Scottish surname most notably associated with Sir Malcolm Rifkind, a prominent British Conservative politician and former Foreign Secretary.
  • C. Don Ettlinger
    Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
  • D. Dirksen
    Dirksen is a surname most notably associated with Everett Dirksen, a prominent mid-20th-century American politician and U.S. Senate Minority Leader.
  • E. Dan Knechtges
    Dan Knechtges is an American director and choreographer known for his work on numerous Broadway and Off-Broadway musicals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e668eaa3b88190bef4f2db0125fdfc completed April 20, 2026, 5:56 p.m.
Created at: April 11, 2026, 11:36 p.m.